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Adaptive Backstepping Design of a Microgyroscope.

Yunmei Fang1, Juntao Fei2, Yuzheng Yang3

  • 1College of Electrical and Mechanical Engineering, Hohai University, Changzhou 213022, China. yunmeif@163.com.

Micromachines
|November 15, 2018
PubMed
Summary

This study introduces an adaptive backstepping controller (ABC) for microgyroscopes, ensuring stable trajectory tracking and accurate parameter estimation. The novel algorithm enhances microgyroscope performance despite uncertainties and disturbances.

Keywords:
adaptive controlbackstepping approachmicrogyroscopetracking performance

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Area of Science:

  • Control Systems Engineering
  • MEMS Technology
  • Robotics

Background:

  • Microgyroscopes are crucial inertial sensors.
  • Accurate modeling and control are essential for microgyroscope performance.
  • Existing control methods may struggle with parameter variations and external disturbances.

Purpose of the Study:

  • To design and analyze a novel adaptive backstepping controller (ABC) for a z-axis microgyroscope.
  • To achieve asymptotic stability in trajectory tracking errors.
  • To develop an adaptive estimator for real-time parameter updates and online estimation of unknown system parameters.

Main Methods:

  • Derivation of the dynamic model using Lagrange-Maxwell electromechanical equations.
  • Application of a backstepping design approach for nonlinear control.
  • Integration of an adaptive estimator within the Lyapunov framework.
  • Inclusion of a robust compensator to handle parameter variations and disturbances.

Main Results:

  • The proposed ABC scheme demonstrates guaranteed asymptotic stability.
  • Excellent tracking performance was achieved in simulation studies.
  • Consistent parameter estimates were obtained despite model uncertainties and external disturbances.
  • Online estimation of unknown system parameters, including angular velocity, was feasible under persistent excitation.

Conclusions:

  • The developed adaptive backstepping controller is effective for microgyroscope control.
  • The controller ensures robust performance and accurate parameter estimation in the presence of uncertainties.
  • The findings contribute to the advancement of high-performance microgyroscope systems.